Artificial Intelligence: A Modern Myth |
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Page 59
... neural activities with concepts , emotions , skill manifestation , etc. Even the first objective may be frustrated by inconsistency and lack of complete specificity in structural functioning . The second seems impossible . Let us ...
... neural activities with concepts , emotions , skill manifestation , etc. Even the first objective may be frustrated by inconsistency and lack of complete specificity in structural functioning . The second seems impossible . Let us ...
Page 198
... neural computing ' is a useful reminder of this inspirational link with the human brain . Aleksander proffers a general definition of the area : Neural computing is the study of cellular networks that have a natural propensity for ...
... neural computing ' is a useful reminder of this inspirational link with the human brain . Aleksander proffers a general definition of the area : Neural computing is the study of cellular networks that have a natural propensity for ...
Page 199
... neural models , or perhaps it was simply the ebb and flow of scientific interest . Whatever the reason , the rebirth is now in full swing . ( Pollack 1989 p.9 ) Aleksander outlines four expected outcomes from research in neural ...
... neural models , or perhaps it was simply the ebb and flow of scientific interest . Whatever the reason , the rebirth is now in full swing . ( Pollack 1989 p.9 ) Aleksander outlines four expected outcomes from research in neural ...
Contents
What is Artificial Intelligence? | 11 |
The Nature of Intelligence | 35 |
What is a Machine? | 75 |
Copyright | |
6 other sections not shown
Common terms and phrases
ability activity algorithmic analysis anthropomorphic approach argued artefacts articulation Artificial Intelligence assumptions attempt attributes belief Boden brain characteristics chess Chinese Room Cognitive Science coherence complex computer system concept connectionism connectionist construction context DENDRAL Dennett domain Dreyfus emerge emotion example existential existential fallacy expectations experience expert systems explicit explore expression fallacy Feigenbaum Fodor formal formalisation framework function fundamental heuristics human intelligence Ibid ineffable intellectual intelligence in machines intentional stance intentional system intentionality interaction with reality interpretation knowledge knowledge representation learning limits logic machine intelligence machine learning manipulation mathematical meaning mechanical mental metaphor mind Minsky natural language networks neural Newell notion object ontology perceptrons performance perhaps phenomena physical physical symbol system possible present problem psychological question rationality reasoning representation rules scientific semantics sense Simon simply solving strong AI structure symbol theory thinking traditional Turing test understanding words